Automation index

How much of a Flight dispatcher’s job can AI already do?

A flight plan comes earlier. Signing the fuel without leaving the aircraft short do not.

This percentage does not predict how many people will lose their jobs.

Task comparison

IS WORK OVER?

28%

AI can already do 28% of this job.

#94 / 673

Flight dispatcher

Task weights are our estimates based on O*NET frequency data, not time shares published by O*NET.

The time saving for each task is estimated separately.

Task	Share	AI	Points
Plan, NOTAM, METAR and the fuel. Estimate No public source provides a precise figure. This is our estimate.	18%	52%	+9.4
Slot, alternates and weight. Estimate No public source provides a precise figure. This is our estimate.	16%	40%	+6.4
The crew, the change and the late aircraft. Estimate No public source provides a precise figure. This is our estimate.	16%	22%	+3.5
MEL, restrictions and the go or no-go. Estimate No public source provides a precise figure. This is our estimate.	16%	28%	+4.5
The storm, the diversion and recalculating in time. Estimate No public source provides a precise figure. This is our estimate.	18%	14%	+2.5
Not leaving it short, and signing the release. Estimate No public source provides a precise figure. This is our estimate.	16%	12%	+1.9
Total	100%		28%

Modelled workweek: 100% · Public evidence: 0% · Estimate: 100% · Confidence: Low

IS WORK OVER?

22%

#394 / 673

Art teacher

Task weights are our estimates based on O*NET frequency data, not time shares published by O*NET.

The time saving for each task is estimated separately.

Task	Share	AI	Points
Project, the sheet and the kit. Estimate No public source provides a precise figure. This is our estimate.	16%	40%	+6.4
Classroom, the one who will not dare and the one who bins it. Estimate No public source provides a precise figure. This is our estimate.	18%	14%	+2.5
Technique, the mistake and not doing it for them. Estimate No public source provides a precise figure. This is our estimate.	16%	28%	+4.5
Show, the corridor and not hanging only the pretty. Estimate No public source provides a precise figure. This is our estimate.	16%	22%	+3.5
Staff, 'it's a soft subject', and not dropping the bar. Estimate No public source provides a precise figure. This is our estimate.	18%	18%	+3.2
That they get dirty, and not copying the model. Estimate No public source provides a precise figure. This is our estimate.	16%	12%	+1.9
Total	100%		22%

Modelled workweek: 100% · Public evidence: 0% · Estimate: 100% · Confidence: Low